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We are seeking a talented and creative postdoctoral researcher to work on an interdisciplinary project at the intersection of mathematics, data science and biology. The project will use mathematical
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of the cell wall on the kinetics of ice growth. This is a unique opportunity to work at boundaries between physical chemistry and biology, in a research group with a very prominent profile in the ice community
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relevant branch of mathematics (Or close to completion) Expert knowledge of differential equations and/or dynamical systems, as well as some background in mathematical biology. Proficiency in Python, Julia
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in mathematical biology. Proficiency in Python, Julia or another programming language relevant to scientific research. Excellent communication and organisational skills. The ability to work
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between plant evolutionary development (evo-devo) and systems biology. The successful candidate will work alongside a mathematical modeller and a bioinformatician to uncover how specific combinations
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The School of Biological Sciences and Institute for Global Food Security at Queen’s University Belfast is currently seeking to appoint an exceptional microbiologist with bioinformatics experience to the post of Research Fellow. The appointee will join the AMR & One Health Lab, a team of...
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intermediate between Arabidopsis and Marchantia in terms of signalling complexity. We therefore see that this project sits at nexus between plant evolutionary development (evo-devo) and systems biology. The
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research and teaching. The Division has a diverse portfolio addressing all areas of biology from protein interactions to cell function, organism development, genetics, population studies and the environment
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, computational biology, bioinformatics, statistical genetics or applied mathematics and an experience in analysis of big data, genetics, transcriptomics and other “omics”. The post holder with lead on
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Markov processes) and mathematical biology, to work with Dr. Wasiur KhudaBukhsh on an EPSRC- funded project entitled “Large Graph Limits of Stochastic Processes on Random Graphs”. The central aim